Workarounds produce pseudo-data quality: Insights from case studies.

Abstract

This research explores how workarounds can affect organisational data quality. It uses a theory-building approach from four case studies in Indonesian organisations responsible for producing managerial reports. This study finds that workarounds produce pseudo-data quality when original data sources are inaccessible. Employees tend to re-interpret data pragmatically to rectify pressing data needs, producing pseudo-data quality. Even though pseudo-data quality might not reflect actual transactions, it emphasises data consistency across available data sources. Therefore, it helps produce acceptable managerial reports. This research's theoretical insights are helpful for unit managers to mitigate pseudo-data quality's negative consequences, such as financial loss and damage to reputation.